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Introducing Virtualitics Smart Sampling: Get the Right Sample Every Time
Manage episode 358758952 series 3364353
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Gathering a sample from your dataset that properly represents the nuances in the data is challenging for anyone, even seasoned data scientists. Since it’s likely that the data you need to explore is massive, sampling can’t be avoided. But taking shortcuts–first and last rows, time-bound, and even the classic random sample algorithm–can introduce bias into your exploration. With our latest release, we’ve introduced a new Smart Sampling application that streamlines data sampling, while still allowing you to tailor the approach to suit your needs.
46 episodes
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Manage episode 358758952 series 3364353
Content provided by Virtualitics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Virtualitics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Gathering a sample from your dataset that properly represents the nuances in the data is challenging for anyone, even seasoned data scientists. Since it’s likely that the data you need to explore is massive, sampling can’t be avoided. But taking shortcuts–first and last rows, time-bound, and even the classic random sample algorithm–can introduce bias into your exploration. With our latest release, we’ve introduced a new Smart Sampling application that streamlines data sampling, while still allowing you to tailor the approach to suit your needs.
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